Pythonic photo-zs

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License: MIT

Author: G. Brammer

Requires: Python >=3.8

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Project description

https://github.com/gbrammer/eazy-py/actions/workflows/python-package.yml/badge.svg https://badge.fury.io/py/eazy.svg https://zenodo.org/badge/DOI/10.5281/zenodo.5012705.svg

eazy-py: Pythonic photometric redshift tools based on EAZY

Under heavy construction….

Documentation will be here: https://eazy-py.readthedocs.io/, though it’s essentially just the module API for now.

Templates and filter files still here: https://github.com/gbrammer/eazy-photoz/.

Installation instructions

pip install eazy

# Forked dependencies that are not yet released on PyPI
pip install git+https://github.com/gbrammer/dust_attenuation.git

Demo

https://colab.research.google.com/assets/colab-badge.svg https://mybinder.org/badge_logo.svg

Citation

Please cite both this repository and Brammer et al. (2008). A BiBTeX for this repository can be generated via the Cite this repository link in the upper left corner of the GitHub page.

Project details

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License: MIT

Author: G. Brammer

Requires: Python >=3.8

Classifiers

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This version

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6

0.5.2

0.5.1

0.5

0.3.0

0.2.0

0.1.0

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